Growth rate of liquidity provider's wealth in G3Ms

Cheuk Yin Lee, Shen-Ning Tung, Tai-Ho Wang
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Abstract

Geometric mean market makers (G3Ms), such as Uniswap and Balancer, represent a widely used class of automated market makers (AMMs). These G3Ms are characterized by the following rule: the reserves of the AMM must maintain the same (weighted) geometric mean before and after each trade. This paper investigates the effects of trading fees on liquidity providers' (LP) profitability in a G3M, as well as the adverse selection faced by LPs due to arbitrage activities involving a reference market. Our work expands the model described in previous studies for G3Ms, integrating transaction fees and continuous-time arbitrage into the analysis. Within this context, we analyze G3M dynamics, characterized by stochastic storage processes, and calculate the growth rate of LP wealth. In particular, our results align with and extend the results concerning the constant product market maker, commonly referred to as Uniswap v2.
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流动性提供者在 G3Ms 中的财富增长率
几何平均数做市商(G3Ms),如 Uniswap 和 Balancer,是广泛使用的一类自动做市商(AMMs)。这些 G3M 的特点是:AMM 的储备金在每次交易前后必须保持相同的(加权)几何平均数。本文研究了交易费用对 G3M 中流动性提供者(LP)盈利能力的影响,以及 LP 因涉及参考市场的套利活动而面临的逆向选择。我们的工作扩展了以往研究中描述的 G3M 模型,将交易费用和连续时间套利纳入分析。在此背景下,我们分析了以随机存储过程为特征的 G3M 动态,并计算了 LP 财富的增长率。特别是,我们的结果与恒定产品做市商(通常称为Uniswap v2)的结果一致,并对其进行了扩展。
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